recipe bioconductor-rmagpie

MicroArray Gene-expression-based Program In Error rate estimation

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/Rmagpie.html

License:

GPL (>= 3)

Recipe:

/bioconductor-rmagpie/meta.yaml

Microarray Classification is designed for both biologists and statisticians. It offers the ability to train a classifier on a labelled microarray dataset and to then use that classifier to predict the class of new observations. A range of modern classifiers are available, including support vector machines (SVMs), nearest shrunken centroids (NSCs)… Advanced methods are provided to estimate the predictive error rate and to report the subset of genes which appear essential in discriminating between classes.

package bioconductor-rmagpie

(downloads) docker_bioconductor-rmagpie

versions:
1.58.0-0,  1.56.0-0,  1.54.0-0,  1.50.0-0,  1.48.0-0,  1.46.0-1,  1.46.0-0,  1.44.0-0,  1.42.0-0, 

1.58.0-0,  1.56.0-0,  1.54.0-0,  1.50.0-0,  1.48.0-0,  1.46.0-1,  1.46.0-0,  1.44.0-0,  1.42.0-0,  1.40.0-1,  1.38.0-0

depends bioconductor-biobase:

>=2.62.0,<2.63.0

depends r-base:

>=4.3,<4.4.0a0

depends r-e1071:

depends r-kernlab:

depends r-pamr:

requirements:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-rmagpie

and update with::

   mamba update bioconductor-rmagpie

To create a new environment, run:

mamba create --name myenvname bioconductor-rmagpie

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull quay.io/biocontainers/bioconductor-rmagpie:<tag>

(see `bioconductor-rmagpie/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-rmagpie/README.html)